Application of adaptive differential evolutionary algorithms to aerodynamic optimization design

Yanxin Chang, Zhenghong Gao

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Based on real-coded differential evolutionary (DE) algorithm, a population entropy estimating method is introduced into DE to analyze the distribution of individuals in the population. Search range in this algorithm is adaptively changed according to individual distribution. Function optimization test suggests that this algorithm has better convergence stability and convergence speed. The Navier-Stokes equations are adopted for calculating the airfoil aerodynamic performances. Three optimization algorithms, i.e., the standard genetic algorithm(SGA), the DE algorithm, and the adaptive range differential evolutionary (ARDE) algorithm, are tested on an airfoil shape aerodynamic optimization problem. Comparison of the optimization results from the three different algorithms demonstrates that the ARDE algorithm has better search capability. According to the characteristics of the aerodynamic optimization problem, influences from the control parameters in the algorithm on optimization results are analyzed and studied.

Original languageEnglish
Pages (from-to)1590-1596
Number of pages7
JournalHangkong Xuebao/Acta Aeronautica et Astronautica Sinica
Volume30
Issue number9
StatePublished - Sep 2009

Keywords

  • Adaptive control
  • Aerodynamic optimization
  • Airfoil
  • Differential evolutionary algorithm
  • Entropy estimate
  • Parameter setting

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